{"title":"巴基斯坦人群乳腺癌的种系突变基因组分析","authors":"pSadia Ajazp","doi":"10.4172/1747-0862-C3-030","DOIUrl":null,"url":null,"abstract":"Two complementary goals of biological research are to understand how each organism works and how that relates to other organisms. Specifically, the function of all genes and non-genes (i.e., all the regions of a genome that do not code for any genes) of each organism and how its genes and non-genes compare with those of other organisms. The progress in DNA sequencing has generated large amounts of sequence data, and many computer programs have been developed to interpret these data, especially in identifying and analyzing the similarities among genes and genomes. Unfortunately, in the zeal of finding similarities, the differences among genes and genomes are often not just simply ignored, but intentionally masked, trimmed, or filtered. With the increase in the number of genes or organisms being compared, the deleted data increase exponentially.","PeriodicalId":88269,"journal":{"name":"Journal of molecular and genetic medicine : an international journal of biomedical research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Germ-line mutanome profiling of the Breast cancers in Pakistani population\",\"authors\":\"pSadia Ajazp\",\"doi\":\"10.4172/1747-0862-C3-030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two complementary goals of biological research are to understand how each organism works and how that relates to other organisms. Specifically, the function of all genes and non-genes (i.e., all the regions of a genome that do not code for any genes) of each organism and how its genes and non-genes compare with those of other organisms. The progress in DNA sequencing has generated large amounts of sequence data, and many computer programs have been developed to interpret these data, especially in identifying and analyzing the similarities among genes and genomes. Unfortunately, in the zeal of finding similarities, the differences among genes and genomes are often not just simply ignored, but intentionally masked, trimmed, or filtered. With the increase in the number of genes or organisms being compared, the deleted data increase exponentially.\",\"PeriodicalId\":88269,\"journal\":{\"name\":\"Journal of molecular and genetic medicine : an international journal of biomedical research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular and genetic medicine : an international journal of biomedical research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/1747-0862-C3-030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular and genetic medicine : an international journal of biomedical research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/1747-0862-C3-030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Germ-line mutanome profiling of the Breast cancers in Pakistani population
Two complementary goals of biological research are to understand how each organism works and how that relates to other organisms. Specifically, the function of all genes and non-genes (i.e., all the regions of a genome that do not code for any genes) of each organism and how its genes and non-genes compare with those of other organisms. The progress in DNA sequencing has generated large amounts of sequence data, and many computer programs have been developed to interpret these data, especially in identifying and analyzing the similarities among genes and genomes. Unfortunately, in the zeal of finding similarities, the differences among genes and genomes are often not just simply ignored, but intentionally masked, trimmed, or filtered. With the increase in the number of genes or organisms being compared, the deleted data increase exponentially.